// Class: ReadKaon_Upstream_TMVA
// Automatically generated by MethodBase::MakeClass
//

/* configuration options =====================================================

#GEN -*-*-*-*-*-*-*-*-*-*-*- general info -*-*-*-*-*-*-*-*-*-*-*-

Method         : MLP::Kaon_Upstream_TMVA
TMVA Release   : 4.1.4         [262404]
ROOT Release   : 5.34/05       [336389]
Creator        : jonrob
Date           : Wed Apr 10 09:41:55 2013
Host           : Linux lxbuild175.cern.ch 2.6.18-308.4.1.el5 #1 SMP Wed Apr 18 16:26:27 CEST 2012 x86_64 x86_64 x86_64 GNU/Linux
Dir            : /afs/cern.ch/work/j/jonrob/www/ANNPID/MC12/TrainAllTks-EvalAllTks-ReweightRICH2/TMVA-NoPreSels-NoGECs/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/Kaon/Upstream
Training events: 1000000
Analysis type  : [Classification]


#OPT -*-*-*-*-*-*-*-*-*-*-*-*- options -*-*-*-*-*-*-*-*-*-*-*-*-

# Set by User:
NCycles: "750" [Number of training cycles]
HiddenLayers: "30" [Specification of hidden layer architecture]
NeuronType: "tanh" [Neuron activation function type]
EstimatorType: "CE" [MSE (Mean Square Estimator) for Gaussian Likelihood or CE(Cross-Entropy) for Bernoulli Likelihood]
V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
VarTransform: "Norm" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
H: "True" [Print method-specific help message]
TrainingMethod: "BP" [Train with Back-Propagation (BP), BFGS Algorithm (BFGS), or Genetic Algorithm (GA - slower and worse)]
EpochMonitoring: "True" [Provide epoch-wise monitoring plots according to TestRate (caution: causes big ROOT output file!)]
# Default:
RandomSeed: "1" [Random seed for initial synapse weights (0 means unique seed for each run; default value '1')]
NeuronInputType: "sum" [Neuron input function type]
VerbosityLevel: "Verbose" [Verbosity level]
CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
LearningRate: "2.000000e-02" [ANN learning rate parameter]
DecayRate: "1.000000e-02" [Decay rate for learning parameter]
TestRate: "10" [Test for overtraining performed at each #th epochs]
Sampling: "1.000000e+00" [Only 'Sampling' (randomly selected) events are trained each epoch]
SamplingEpoch: "1.000000e+00" [Sampling is used for the first 'SamplingEpoch' epochs, afterwards, all events are taken for training]
SamplingImportance: "1.000000e+00" [ The sampling weights of events in epochs which successful (worse estimator than before) are multiplied with SamplingImportance, else they are divided.]
SamplingTraining: "True" [The training sample is sampled]
SamplingTesting: "False" [The testing sample is sampled]
ResetStep: "50" [How often BFGS should reset history]
Tau: "3.000000e+00" [LineSearch "size step"]
BPMode: "sequential" [Back-propagation learning mode: sequential or batch]
BatchSize: "-1" [Batch size: number of events/batch, only set if in Batch Mode, -1 for BatchSize=number_of_events]
ConvergenceImprove: "1.000000e-30" [Minimum improvement which counts as improvement (<0 means automatic convergence check is turned off)]
ConvergenceTests: "-1" [Number of steps (without improvement) required for convergence (<0 means automatic convergence check is turned off)]
UseRegulator: "False" [Use regulator to avoid over-training]
UpdateLimit: "10000" [Maximum times of regulator update]
CalculateErrors: "False" [Calculates inverse Hessian matrix at the end of the training to be able to calculate the uncertainties of an MVA value]
WeightRange: "1.000000e+00" [Take the events for the estimator calculations from small deviations from the desired value to large deviations only over the weight range]
##


#VAR -*-*-*-*-*-*-*-*-*-*-*-* variables *-*-*-*-*-*-*-*-*-*-*-*-

NVar 22
TrackP                        TrackP                        TrackP                        TrackP                                                          'F'    [172.490005493,4970293.5]
TrackPt                       TrackPt                       TrackPt                       TrackPt                                                         'F'    [0.832938909531,995273.875]
TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof                                                 'F'    [0.00302399252541,2.999573946]
TrackNumDof                   TrackNumDof                   TrackNumDof                   TrackNumDof                                                     'I'    [4,28]
TrackLikelihood               TrackLikelihood               TrackLikelihood               TrackLikelihood                                                 'F'    [-99.6241531372,-0.319228202105]
TrackGhostProbability         TrackGhostProbability         TrackGhostProbability         TrackGhostProbability                                           'F'    [0.0317582078278,1]
TrackCloneDist                TrackCloneDist                TrackCloneDist                TrackCloneDist                                                  'F'    [-999,4999.73632812]
TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2                                                'F'    [2.50487555604e-05,51.0802001953]
TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF                                                'I'    [1,24]
RichUsedAero                  RichUsedAero                  RichUsedAero                  RichUsedAero                                                    'I'    [0,1]
RichUsedR1Gas                 RichUsedR1Gas                 RichUsedR1Gas                 RichUsedR1Gas                                                   'I'    [0,1]
RichAbovePiThres              RichAbovePiThres              RichAbovePiThres              RichAbovePiThres                                                'I'    [0,1]
RichAboveKaThres              RichAboveKaThres              RichAboveKaThres              RichAboveKaThres                                                'I'    [0,1]
RichAbovePrThres              RichAbovePrThres              RichAbovePrThres              RichAbovePrThres                                                'I'    [0,1]
RichDLLe                      RichDLLe                      RichDLLe                      RichDLLe                                                        'F'    [-999,107.511299133]
RichDLLmu                     RichDLLmu                     RichDLLmu                     RichDLLmu                                                       'F'    [-999,69.573600769]
RichDLLk                      RichDLLk                      RichDLLk                      RichDLLk                                                        'F'    [-999,99.5278015137]
RichDLLp                      RichDLLp                      RichDLLp                      RichDLLp                                                        'F'    [-999,62.6166000366]
RichDLLbt                     RichDLLbt                     RichDLLbt                     RichDLLbt                                                       'F'    [-999,47.8530006409]
InAccBrem                     InAccBrem                     InAccBrem                     InAccBrem                                                       'I'    [0,1]
BremPIDe                      BremPIDe                      BremPIDe                      BremPIDe                                                        'F'    [-999,4.79148387909]
VeloCharge                    VeloCharge                    VeloCharge                    VeloCharge                                                      'F'    [0.486891388893,5.4943819046]
NSpec 0


============================================================================ */

#include <vector>
#include <cmath>
#include <string>
#include <iostream>

#ifndef IClassifierReader__def
#define IClassifierReader__def

class IClassifierReader {

 public:

   // constructor
   IClassifierReader() : fStatusIsClean( true ) {}
   virtual ~IClassifierReader() {}

   // return classifier response
   virtual double GetMvaValue( const std::vector<double>& inputValues ) const = 0;

   // returns classifier status
   bool IsStatusClean() const { return fStatusIsClean; }

 protected:

   bool fStatusIsClean;
};

#endif

class ReadKaon_Upstream_TMVA : public IClassifierReader {

 public:

   // constructor
   ReadKaon_Upstream_TMVA( std::vector<std::string>& theInputVars ) 
      : IClassifierReader(),
        fClassName( "ReadKaon_Upstream_TMVA" ),
        fNvars( 22 ),
        fIsNormalised( false )
   {      
      // the training input variables
      const char* inputVars[] = { "TrackP", "TrackPt", "TrackChi2PerDof", "TrackNumDof", "TrackLikelihood", "TrackGhostProbability", "TrackCloneDist", "TrackFitVeloChi2", "TrackFitVeloNDoF", "RichUsedAero", "RichUsedR1Gas", "RichAbovePiThres", "RichAboveKaThres", "RichAbovePrThres", "RichDLLe", "RichDLLmu", "RichDLLk", "RichDLLp", "RichDLLbt", "InAccBrem", "BremPIDe", "VeloCharge" };

      // sanity checks
      if (theInputVars.size() <= 0) {
         std::cout << "Problem in class \"" << fClassName << "\": empty input vector" << std::endl;
         fStatusIsClean = false;
      }

      if (theInputVars.size() != fNvars) {
         std::cout << "Problem in class \"" << fClassName << "\": mismatch in number of input values: "
                   << theInputVars.size() << " != " << fNvars << std::endl;
         fStatusIsClean = false;
      }

      // validate input variables
      for (size_t ivar = 0; ivar < theInputVars.size(); ivar++) {
         if (theInputVars[ivar] != inputVars[ivar]) {
            std::cout << "Problem in class \"" << fClassName << "\": mismatch in input variable names" << std::endl
                      << " for variable [" << ivar << "]: " << theInputVars[ivar].c_str() << " != " << inputVars[ivar] << std::endl;
            fStatusIsClean = false;
         }
      }

      // initialize min and max vectors (for normalisation)
      fVmin[0] = -1;
      fVmax[0] = 1;
      fVmin[1] = -1;
      fVmax[1] = 1;
      fVmin[2] = -1;
      fVmax[2] = 1;
      fVmin[3] = -1;
      fVmax[3] = 1;
      fVmin[4] = -1;
      fVmax[4] = 1;
      fVmin[5] = -1;
      fVmax[5] = 1;
      fVmin[6] = -1;
      fVmax[6] = 1;
      fVmin[7] = -1;
      fVmax[7] = 1;
      fVmin[8] = -1;
      fVmax[8] = 1;
      fVmin[9] = -1;
      fVmax[9] = 1;
      fVmin[10] = -1;
      fVmax[10] = 1;
      fVmin[11] = -1;
      fVmax[11] = 1;
      fVmin[12] = -1;
      fVmax[12] = 1;
      fVmin[13] = -1;
      fVmax[13] = 1;
      fVmin[14] = -1;
      fVmax[14] = 1;
      fVmin[15] = -1;
      fVmax[15] = 1;
      fVmin[16] = -1;
      fVmax[16] = 1;
      fVmin[17] = -1;
      fVmax[17] = 1;
      fVmin[18] = -1;
      fVmax[18] = 1;
      fVmin[19] = -1;
      fVmax[19] = 1;
      fVmin[20] = -1;
      fVmax[20] = 1;
      fVmin[21] = -1;
      fVmax[21] = 1;

      // initialize input variable types
      fType[0] = 'F';
      fType[1] = 'F';
      fType[2] = 'F';
      fType[3] = 'I';
      fType[4] = 'F';
      fType[5] = 'F';
      fType[6] = 'F';
      fType[7] = 'F';
      fType[8] = 'I';
      fType[9] = 'I';
      fType[10] = 'I';
      fType[11] = 'I';
      fType[12] = 'I';
      fType[13] = 'I';
      fType[14] = 'F';
      fType[15] = 'F';
      fType[16] = 'F';
      fType[17] = 'F';
      fType[18] = 'F';
      fType[19] = 'I';
      fType[20] = 'F';
      fType[21] = 'F';

      // initialize constants
      Initialize();

      // initialize transformation
      InitTransform();
   }

   // destructor
   virtual ~ReadKaon_Upstream_TMVA() {
      Clear(); // method-specific
   }

   // the classifier response
   // "inputValues" is a vector of input values in the same order as the 
   // variables given to the constructor
   double GetMvaValue( const std::vector<double>& inputValues ) const;

 private:

   // method-specific destructor
   void Clear();

   // input variable transformation

   double fMin_1[3][22];
   double fMax_1[3][22];
   void InitTransform_1();
   void Transform_1( std::vector<double> & iv, int sigOrBgd ) const;
   void InitTransform();
   void Transform( std::vector<double> & iv, int sigOrBgd ) const;

   // common member variables
   const char* fClassName;

   const size_t fNvars;
   size_t GetNvar()           const { return fNvars; }
   char   GetType( int ivar ) const { return fType[ivar]; }

   // normalisation of input variables
   const bool fIsNormalised;
   bool IsNormalised() const { return fIsNormalised; }
   double fVmin[22];
   double fVmax[22];
   double NormVariable( double x, double xmin, double xmax ) const {
      // normalise to output range: [-1, 1]
      return 2*(x - xmin)/(xmax - xmin) - 1.0;
   }

   // type of input variable: 'F' or 'I'
   char   fType[22];

   // initialize internal variables
   void Initialize();
   double GetMvaValue__( const std::vector<double>& inputValues ) const;

   // private members (method specific)

   double ActivationFnc(double x) const;
   double OutputActivationFnc(double x) const;

   int fLayers;
   int fLayerSize[3];
   double fWeightMatrix0to1[31][23];   // weight matrix from layer 0 to 1
   double fWeightMatrix1to2[1][31];   // weight matrix from layer 1 to 2

   double * fWeights[3];
};

inline void ReadKaon_Upstream_TMVA::Initialize()
{
   // build network structure
   fLayers = 3;
   fLayerSize[0] = 23; fWeights[0] = new double[23]; 
   fLayerSize[1] = 31; fWeights[1] = new double[31]; 
   fLayerSize[2] = 1; fWeights[2] = new double[1]; 
   // weight matrix from layer 0 to 1
   fWeightMatrix0to1[0][0] = -0.063912275206045;
   fWeightMatrix0to1[1][0] = 2.00411801706196;
   fWeightMatrix0to1[2][0] = 0.633923499797392;
   fWeightMatrix0to1[3][0] = 3.17568545912941;
   fWeightMatrix0to1[4][0] = -1.51203011845389;
   fWeightMatrix0to1[5][0] = 0.0767420304309269;
   fWeightMatrix0to1[6][0] = -5.99944478835376;
   fWeightMatrix0to1[7][0] = 7.55318912814228;
   fWeightMatrix0to1[8][0] = -1.99380715134203;
   fWeightMatrix0to1[9][0] = -1.11437755506178;
   fWeightMatrix0to1[10][0] = -1.1553071223657;
   fWeightMatrix0to1[11][0] = 1.31415280724969;
   fWeightMatrix0to1[12][0] = -1.18683680606719;
   fWeightMatrix0to1[13][0] = -1.88310287981289;
   fWeightMatrix0to1[14][0] = -0.166264531922994;
   fWeightMatrix0to1[15][0] = 2.9697830646399;
   fWeightMatrix0to1[16][0] = -0.757659017555672;
   fWeightMatrix0to1[17][0] = 1.83686352077173;
   fWeightMatrix0to1[18][0] = 3.35881933128063;
   fWeightMatrix0to1[19][0] = 0.851169139336866;
   fWeightMatrix0to1[20][0] = 1.29836315112195;
   fWeightMatrix0to1[21][0] = -1.88486607888149;
   fWeightMatrix0to1[22][0] = 4.52040512692805;
   fWeightMatrix0to1[23][0] = 4.88578537597815;
   fWeightMatrix0to1[24][0] = -10.1075852517523;
   fWeightMatrix0to1[25][0] = -0.526636451752964;
   fWeightMatrix0to1[26][0] = 2.54703725894496;
   fWeightMatrix0to1[27][0] = -6.936164119805;
   fWeightMatrix0to1[28][0] = -1.76748753214846;
   fWeightMatrix0to1[29][0] = -1.64078386921203;
   fWeightMatrix0to1[0][1] = 1.58211536362655;
   fWeightMatrix0to1[1][1] = 1.18646316254432;
   fWeightMatrix0to1[2][1] = -0.138575639854454;
   fWeightMatrix0to1[3][1] = 1.17228292830209;
   fWeightMatrix0to1[4][1] = -2.28550727943205;
   fWeightMatrix0to1[5][1] = 0.939602787579174;
   fWeightMatrix0to1[6][1] = -7.20148585638979;
   fWeightMatrix0to1[7][1] = 2.53061693136991;
   fWeightMatrix0to1[8][1] = -1.79939454718606;
   fWeightMatrix0to1[9][1] = 2.34442441411012;
   fWeightMatrix0to1[10][1] = 1.50248706329213;
   fWeightMatrix0to1[11][1] = 1.61812436824601;
   fWeightMatrix0to1[12][1] = 1.49420824535575;
   fWeightMatrix0to1[13][1] = 0.51910428661008;
   fWeightMatrix0to1[14][1] = -0.183759480878513;
   fWeightMatrix0to1[15][1] = -1.85632893304857;
   fWeightMatrix0to1[16][1] = 0.347910038075194;
   fWeightMatrix0to1[17][1] = 0.0980599749930061;
   fWeightMatrix0to1[18][1] = 2.86664068683099;
   fWeightMatrix0to1[19][1] = 0.912351216299898;
   fWeightMatrix0to1[20][1] = 0.13747009717683;
   fWeightMatrix0to1[21][1] = 2.22275140103113;
   fWeightMatrix0to1[22][1] = 3.62972027004822;
   fWeightMatrix0to1[23][1] = 6.87051655789338;
   fWeightMatrix0to1[24][1] = -3.98130322990898;
   fWeightMatrix0to1[25][1] = -0.963778829104464;
   fWeightMatrix0to1[26][1] = -3.11118225762314;
   fWeightMatrix0to1[27][1] = -8.29646789362628;
   fWeightMatrix0to1[28][1] = 1.89085518193071;
   fWeightMatrix0to1[29][1] = -0.935371901724292;
   fWeightMatrix0to1[0][2] = 0.126985258212641;
   fWeightMatrix0to1[1][2] = -1.14332999074;
   fWeightMatrix0to1[2][2] = -1.28670804642984;
   fWeightMatrix0to1[3][2] = -1.29948270499955;
   fWeightMatrix0to1[4][2] = 0.167655420135274;
   fWeightMatrix0to1[5][2] = 0.784993752687496;
   fWeightMatrix0to1[6][2] = 1.02780572769875;
   fWeightMatrix0to1[7][2] = -0.31241057284757;
   fWeightMatrix0to1[8][2] = -1.01877391322933;
   fWeightMatrix0to1[9][2] = -0.54542134281483;
   fWeightMatrix0to1[10][2] = -0.0433993081971588;
   fWeightMatrix0to1[11][2] = -0.0400024613583864;
   fWeightMatrix0to1[12][2] = -0.916070556725765;
   fWeightMatrix0to1[13][2] = 1.5963512026074;
   fWeightMatrix0to1[14][2] = 0.172882719778962;
   fWeightMatrix0to1[15][2] = -0.0323796826314507;
   fWeightMatrix0to1[16][2] = -2.18967113750091;
   fWeightMatrix0to1[17][2] = 1.56135732830291;
   fWeightMatrix0to1[18][2] = 0.516602172423221;
   fWeightMatrix0to1[19][2] = -0.0390838110511244;
   fWeightMatrix0to1[20][2] = 0.684036384032277;
   fWeightMatrix0to1[21][2] = -0.0167539286716645;
   fWeightMatrix0to1[22][2] = -0.779782832494323;
   fWeightMatrix0to1[23][2] = -0.598069449206666;
   fWeightMatrix0to1[24][2] = -0.119560427497737;
   fWeightMatrix0to1[25][2] = 0.625212331984166;
   fWeightMatrix0to1[26][2] = -0.464903947114213;
   fWeightMatrix0to1[27][2] = -0.780009929210569;
   fWeightMatrix0to1[28][2] = -0.78052375405363;
   fWeightMatrix0to1[29][2] = 0.308046468433225;
   fWeightMatrix0to1[0][3] = 2.40884824223907;
   fWeightMatrix0to1[1][3] = 1.3541118375274;
   fWeightMatrix0to1[2][3] = 3.84939994833434;
   fWeightMatrix0to1[3][3] = 15.2558963021315;
   fWeightMatrix0to1[4][3] = 5.33262406504052;
   fWeightMatrix0to1[5][3] = 0.851678179988706;
   fWeightMatrix0to1[6][3] = -5.77337042115523;
   fWeightMatrix0to1[7][3] = -1.20877482976727;
   fWeightMatrix0to1[8][3] = -2.42192827469678;
   fWeightMatrix0to1[9][3] = 3.1101176939409;
   fWeightMatrix0to1[10][3] = -1.71654383999311;
   fWeightMatrix0to1[11][3] = -2.54948516520666;
   fWeightMatrix0to1[12][3] = 3.60929103982293;
   fWeightMatrix0to1[13][3] = 3.7069652493094;
   fWeightMatrix0to1[14][3] = -2.21536034764552;
   fWeightMatrix0to1[15][3] = 2.87936798494163;
   fWeightMatrix0to1[16][3] = 0.631765140466353;
   fWeightMatrix0to1[17][3] = -4.31712574651284;
   fWeightMatrix0to1[18][3] = -0.0246633157113209;
   fWeightMatrix0to1[19][3] = 1.52547276828884;
   fWeightMatrix0to1[20][3] = -4.03875093056132;
   fWeightMatrix0to1[21][3] = -0.915134448308823;
   fWeightMatrix0to1[22][3] = -1.55217898392622;
   fWeightMatrix0to1[23][3] = 1.85678173940922;
   fWeightMatrix0to1[24][3] = -9.70126002806242;
   fWeightMatrix0to1[25][3] = 0.892595422036467;
   fWeightMatrix0to1[26][3] = 13.8823369874093;
   fWeightMatrix0to1[27][3] = 3.85159645483908;
   fWeightMatrix0to1[28][3] = 0.260822944764663;
   fWeightMatrix0to1[29][3] = 0.935459763365914;
   fWeightMatrix0to1[0][4] = -0.299508606176106;
   fWeightMatrix0to1[1][4] = 0.152660559503918;
   fWeightMatrix0to1[2][4] = 0.718505642419628;
   fWeightMatrix0to1[3][4] = 1.96614067615118;
   fWeightMatrix0to1[4][4] = 0.990589714068612;
   fWeightMatrix0to1[5][4] = 3.26781098420525;
   fWeightMatrix0to1[6][4] = 0.396428704230099;
   fWeightMatrix0to1[7][4] = 2.4881401918547;
   fWeightMatrix0to1[8][4] = -2.97529428318251;
   fWeightMatrix0to1[9][4] = -3.74459863605453;
   fWeightMatrix0to1[10][4] = 1.21624051148491;
   fWeightMatrix0to1[11][4] = -1.79857025955223;
   fWeightMatrix0to1[12][4] = 2.4340297899097;
   fWeightMatrix0to1[13][4] = -1.28910663855731;
   fWeightMatrix0to1[14][4] = -0.673259268301553;
   fWeightMatrix0to1[15][4] = 1.94890184994272;
   fWeightMatrix0to1[16][4] = 0.754689179760794;
   fWeightMatrix0to1[17][4] = -4.65196256749275;
   fWeightMatrix0to1[18][4] = 5.8010363648218;
   fWeightMatrix0to1[19][4] = 1.41234351025429;
   fWeightMatrix0to1[20][4] = -1.01301710731613;
   fWeightMatrix0to1[21][4] = 2.11807935831058;
   fWeightMatrix0to1[22][4] = -4.74017915854794;
   fWeightMatrix0to1[23][4] = -0.0587710329405333;
   fWeightMatrix0to1[24][4] = -6.87898709826008;
   fWeightMatrix0to1[25][4] = 1.30939069953228;
   fWeightMatrix0to1[26][4] = 8.76023582575677;
   fWeightMatrix0to1[27][4] = 3.11934870009357;
   fWeightMatrix0to1[28][4] = -0.853478198717768;
   fWeightMatrix0to1[29][4] = -1.00191001826553;
   fWeightMatrix0to1[0][5] = -0.106311992594925;
   fWeightMatrix0to1[1][5] = 0.702388046636482;
   fWeightMatrix0to1[2][5] = -0.488868906337271;
   fWeightMatrix0to1[3][5] = 1.55231690858054;
   fWeightMatrix0to1[4][5] = 0.520462686267255;
   fWeightMatrix0to1[5][5] = 0.659101039781297;
   fWeightMatrix0to1[6][5] = -0.210383652117425;
   fWeightMatrix0to1[7][5] = 0.499546986807557;
   fWeightMatrix0to1[8][5] = 1.3610235834263;
   fWeightMatrix0to1[9][5] = -0.303518012025355;
   fWeightMatrix0to1[10][5] = -0.626285115789029;
   fWeightMatrix0to1[11][5] = -0.112200647520334;
   fWeightMatrix0to1[12][5] = 0.790538140292042;
   fWeightMatrix0to1[13][5] = 0.329786289656836;
   fWeightMatrix0to1[14][5] = -0.00895930156538859;
   fWeightMatrix0to1[15][5] = 0.692832066471312;
   fWeightMatrix0to1[16][5] = -1.89107232863635;
   fWeightMatrix0to1[17][5] = -0.433532956908955;
   fWeightMatrix0to1[18][5] = -0.638176991355763;
   fWeightMatrix0to1[19][5] = 0.170783759759132;
   fWeightMatrix0to1[20][5] = 0.532800068347103;
   fWeightMatrix0to1[21][5] = 0.788357882860612;
   fWeightMatrix0to1[22][5] = 1.38864672619208;
   fWeightMatrix0to1[23][5] = 0.01966898281718;
   fWeightMatrix0to1[24][5] = -0.152508909250145;
   fWeightMatrix0to1[25][5] = -0.105552710894676;
   fWeightMatrix0to1[26][5] = 0.297057071406604;
   fWeightMatrix0to1[27][5] = -0.21618126894434;
   fWeightMatrix0to1[28][5] = -0.336720368257623;
   fWeightMatrix0to1[29][5] = 0.455152775530921;
   fWeightMatrix0to1[0][6] = -1.9047134945868;
   fWeightMatrix0to1[1][6] = 1.98180415055598;
   fWeightMatrix0to1[2][6] = 0.457034470503859;
   fWeightMatrix0to1[3][6] = -0.21673640560894;
   fWeightMatrix0to1[4][6] = 0.0830382839902363;
   fWeightMatrix0to1[5][6] = -2.12459968653983;
   fWeightMatrix0to1[6][6] = -3.99750088574132;
   fWeightMatrix0to1[7][6] = -0.409429416104812;
   fWeightMatrix0to1[8][6] = -0.480786810018753;
   fWeightMatrix0to1[9][6] = 1.48210076521158;
   fWeightMatrix0to1[10][6] = -1.56609884354877;
   fWeightMatrix0to1[11][6] = 1.49389160313934;
   fWeightMatrix0to1[12][6] = -2.02942548751106;
   fWeightMatrix0to1[13][6] = 1.18080616207171;
   fWeightMatrix0to1[14][6] = 0.908374902885163;
   fWeightMatrix0to1[15][6] = -0.921065259842703;
   fWeightMatrix0to1[16][6] = -0.0914632643042886;
   fWeightMatrix0to1[17][6] = 0.994366363138131;
   fWeightMatrix0to1[18][6] = 1.21138940652163;
   fWeightMatrix0to1[19][6] = -1.91667991943755;
   fWeightMatrix0to1[20][6] = -0.103891530729432;
   fWeightMatrix0to1[21][6] = -0.490339939426253;
   fWeightMatrix0to1[22][6] = 1.5400880869894;
   fWeightMatrix0to1[23][6] = 0.474005184859036;
   fWeightMatrix0to1[24][6] = 8.67980777117721;
   fWeightMatrix0to1[25][6] = 0.180736715211615;
   fWeightMatrix0to1[26][6] = -0.152525639592506;
   fWeightMatrix0to1[27][6] = -5.98369905854054;
   fWeightMatrix0to1[28][6] = 0.481118240321722;
   fWeightMatrix0to1[29][6] = 1.06834257370128;
   fWeightMatrix0to1[0][7] = -0.0935734209995652;
   fWeightMatrix0to1[1][7] = 0.495643754873533;
   fWeightMatrix0to1[2][7] = 2.54379612796727;
   fWeightMatrix0to1[3][7] = 0.579758524676048;
   fWeightMatrix0to1[4][7] = 9.29607261544861;
   fWeightMatrix0to1[5][7] = 0.428242967389113;
   fWeightMatrix0to1[6][7] = -1.02887036982127;
   fWeightMatrix0to1[7][7] = 4.39626235026095;
   fWeightMatrix0to1[8][7] = 4.02667949188002;
   fWeightMatrix0to1[9][7] = -0.0764546715297623;
   fWeightMatrix0to1[10][7] = -0.23178659556138;
   fWeightMatrix0to1[11][7] = -0.168943788247887;
   fWeightMatrix0to1[12][7] = 1.02804932200422;
   fWeightMatrix0to1[13][7] = -1.6125486281704;
   fWeightMatrix0to1[14][7] = 0.133611631803307;
   fWeightMatrix0to1[15][7] = -0.142558909403063;
   fWeightMatrix0to1[16][7] = 1.19350137940019;
   fWeightMatrix0to1[17][7] = -2.84131805090386;
   fWeightMatrix0to1[18][7] = -1.7960356114439;
   fWeightMatrix0to1[19][7] = 0.100315107095761;
   fWeightMatrix0to1[20][7] = -1.27632798035951;
   fWeightMatrix0to1[21][7] = 1.45852014408294;
   fWeightMatrix0to1[22][7] = 1.04512135624179;
   fWeightMatrix0to1[23][7] = 0.109935248229515;
   fWeightMatrix0to1[24][7] = 1.20833904872885;
   fWeightMatrix0to1[25][7] = -0.625868580202801;
   fWeightMatrix0to1[26][7] = 2.80607030324882;
   fWeightMatrix0to1[27][7] = 1.7355585994393;
   fWeightMatrix0to1[28][7] = -0.260858728623141;
   fWeightMatrix0to1[29][7] = 0.419377620502916;
   fWeightMatrix0to1[0][8] = -1.86072468415312;
   fWeightMatrix0to1[1][8] = -0.266423836641299;
   fWeightMatrix0to1[2][8] = -5.08593142321098;
   fWeightMatrix0to1[3][8] = -14.3740131972176;
   fWeightMatrix0to1[4][8] = -7.30541102146784;
   fWeightMatrix0to1[5][8] = -1.39375258366456;
   fWeightMatrix0to1[6][8] = 7.20914012666694;
   fWeightMatrix0to1[7][8] = 0.459435489210884;
   fWeightMatrix0to1[8][8] = -0.341781026296121;
   fWeightMatrix0to1[9][8] = -1.2042042590502;
   fWeightMatrix0to1[10][8] = 1.72015794165559;
   fWeightMatrix0to1[11][8] = -1.74476763121575;
   fWeightMatrix0to1[12][8] = -2.36847070171022;
   fWeightMatrix0to1[13][8] = 2.95803530524782;
   fWeightMatrix0to1[14][8] = 1.79027610348635;
   fWeightMatrix0to1[15][8] = -2.34501902935011;
   fWeightMatrix0to1[16][8] = -2.14653947632383;
   fWeightMatrix0to1[17][8] = -1.98731854874117;
   fWeightMatrix0to1[18][8] = -2.43222053451381;
   fWeightMatrix0to1[19][8] = -1.4211552292017;
   fWeightMatrix0to1[20][8] = 4.33012477220529;
   fWeightMatrix0to1[21][8] = -0.507327238879325;
   fWeightMatrix0to1[22][8] = 3.27129781730978;
   fWeightMatrix0to1[23][8] = -1.52398726105762;
   fWeightMatrix0to1[24][8] = 4.73364937294074;
   fWeightMatrix0to1[25][8] = -1.19643784188493;
   fWeightMatrix0to1[26][8] = -14.0088523489396;
   fWeightMatrix0to1[27][8] = -4.2869695873101;
   fWeightMatrix0to1[28][8] = 0.754794032092052;
   fWeightMatrix0to1[29][8] = -0.287987107789336;
   fWeightMatrix0to1[0][9] = 0.512588771798338;
   fWeightMatrix0to1[1][9] = -0.210578161329175;
   fWeightMatrix0to1[2][9] = -2.53590199873927;
   fWeightMatrix0to1[3][9] = -0.764487992427885;
   fWeightMatrix0to1[4][9] = -0.28964838126461;
   fWeightMatrix0to1[5][9] = -0.0164820515353779;
   fWeightMatrix0to1[6][9] = 2.81894155804081;
   fWeightMatrix0to1[7][9] = 1.02692588966756;
   fWeightMatrix0to1[8][9] = -0.85496221025375;
   fWeightMatrix0to1[9][9] = 0.66167399478149;
   fWeightMatrix0to1[10][9] = -0.133571247293677;
   fWeightMatrix0to1[11][9] = -0.329152111432314;
   fWeightMatrix0to1[12][9] = -2.25504867448602;
   fWeightMatrix0to1[13][9] = -2.23026262507885;
   fWeightMatrix0to1[14][9] = -1.48704724046621;
   fWeightMatrix0to1[15][9] = -1.46014905647467;
   fWeightMatrix0to1[16][9] = -1.66666541475158;
   fWeightMatrix0to1[17][9] = 0.846361563636821;
   fWeightMatrix0to1[18][9] = -4.13831759014528;
   fWeightMatrix0to1[19][9] = 0.28430094954343;
   fWeightMatrix0to1[20][9] = -5.45266012430868;
   fWeightMatrix0to1[21][9] = 0.881519690091238;
   fWeightMatrix0to1[22][9] = 0.548580815372425;
   fWeightMatrix0to1[23][9] = -0.431273667227497;
   fWeightMatrix0to1[24][9] = -0.237543950738663;
   fWeightMatrix0to1[25][9] = -0.0954027876665291;
   fWeightMatrix0to1[26][9] = -2.34215531116135;
   fWeightMatrix0to1[27][9] = 0.314392271668004;
   fWeightMatrix0to1[28][9] = -1.78965295935763;
   fWeightMatrix0to1[29][9] = -0.151149016940695;
   fWeightMatrix0to1[0][10] = -5.03961695570687;
   fWeightMatrix0to1[1][10] = 1.23994657695686;
   fWeightMatrix0to1[2][10] = 1.22267371941223;
   fWeightMatrix0to1[3][10] = -1.20001198216049;
   fWeightMatrix0to1[4][10] = 0.0572717812623936;
   fWeightMatrix0to1[5][10] = -2.95079667404038;
   fWeightMatrix0to1[6][10] = 3.35888210698036;
   fWeightMatrix0to1[7][10] = -1.84981001635025;
   fWeightMatrix0to1[8][10] = -0.391812627722969;
   fWeightMatrix0to1[9][10] = -7.86822047350865;
   fWeightMatrix0to1[10][10] = -0.462657166040983;
   fWeightMatrix0to1[11][10] = -1.05478871827801;
   fWeightMatrix0to1[12][10] = -2.33344569067853;
   fWeightMatrix0to1[13][10] = 2.42302064190372;
   fWeightMatrix0to1[14][10] = 0.112844963940864;
   fWeightMatrix0to1[15][10] = 1.97418511296717;
   fWeightMatrix0to1[16][10] = 1.71787077243363;
   fWeightMatrix0to1[17][10] = -0.026455712699777;
   fWeightMatrix0to1[18][10] = -1.13101859212236;
   fWeightMatrix0to1[19][10] = 1.01615277144743;
   fWeightMatrix0to1[20][10] = -0.707246067502805;
   fWeightMatrix0to1[21][10] = -0.95986004452091;
   fWeightMatrix0to1[22][10] = -3.65675904600579;
   fWeightMatrix0to1[23][10] = -5.58481101413507;
   fWeightMatrix0to1[24][10] = 0.366392407236283;
   fWeightMatrix0to1[25][10] = 1.07265038870357;
   fWeightMatrix0to1[26][10] = 1.31094653229308;
   fWeightMatrix0to1[27][10] = 7.85836683009674;
   fWeightMatrix0to1[28][10] = -1.63117988590374;
   fWeightMatrix0to1[29][10] = 3.83489163258423;
   fWeightMatrix0to1[0][11] = -3.01814168298169;
   fWeightMatrix0to1[1][11] = 2.19432870345837;
   fWeightMatrix0to1[2][11] = -2.36633209520008;
   fWeightMatrix0to1[3][11] = -2.4562035460762;
   fWeightMatrix0to1[4][11] = 0.34351810880091;
   fWeightMatrix0to1[5][11] = -0.294946991172139;
   fWeightMatrix0to1[6][11] = 0.450213634393377;
   fWeightMatrix0to1[7][11] = 0.904616663503354;
   fWeightMatrix0to1[8][11] = 0.477044815323106;
   fWeightMatrix0to1[9][11] = -6.65550597178009;
   fWeightMatrix0to1[10][11] = -0.247616977105172;
   fWeightMatrix0to1[11][11] = -0.972256661713957;
   fWeightMatrix0to1[12][11] = 0.844362788580197;
   fWeightMatrix0to1[13][11] = -0.743692694220152;
   fWeightMatrix0to1[14][11] = 0.201925844924278;
   fWeightMatrix0to1[15][11] = 1.25156810844814;
   fWeightMatrix0to1[16][11] = -0.641882758816557;
   fWeightMatrix0to1[17][11] = 1.80859385969246;
   fWeightMatrix0to1[18][11] = -2.23199371819841;
   fWeightMatrix0to1[19][11] = -0.224581876471723;
   fWeightMatrix0to1[20][11] = -0.122132152484535;
   fWeightMatrix0to1[21][11] = 2.9488289137302;
   fWeightMatrix0to1[22][11] = -0.599669311780795;
   fWeightMatrix0to1[23][11] = -0.496045569221298;
   fWeightMatrix0to1[24][11] = -0.152840573102914;
   fWeightMatrix0to1[25][11] = -2.16182334777356;
   fWeightMatrix0to1[26][11] = -0.782009532233591;
   fWeightMatrix0to1[27][11] = 7.33653376613452;
   fWeightMatrix0to1[28][11] = -0.711372229174711;
   fWeightMatrix0to1[29][11] = 0.306010048730521;
   fWeightMatrix0to1[0][12] = -0.23362508400722;
   fWeightMatrix0to1[1][12] = -0.632866093103045;
   fWeightMatrix0to1[2][12] = -1.7747418783353;
   fWeightMatrix0to1[3][12] = 0.189398782612141;
   fWeightMatrix0to1[4][12] = 0.176691110068018;
   fWeightMatrix0to1[5][12] = 0.879987164404706;
   fWeightMatrix0to1[6][12] = -2.84751228600666;
   fWeightMatrix0to1[7][12] = -0.83279685730159;
   fWeightMatrix0to1[8][12] = -0.782033587585976;
   fWeightMatrix0to1[9][12] = -7.92841699153183;
   fWeightMatrix0to1[10][12] = 0.131532000651927;
   fWeightMatrix0to1[11][12] = -1.57750215748393;
   fWeightMatrix0to1[12][12] = -1.94142394083914;
   fWeightMatrix0to1[13][12] = 2.12778808137656;
   fWeightMatrix0to1[14][12] = 0.140720764915203;
   fWeightMatrix0to1[15][12] = 0.711552393339058;
   fWeightMatrix0to1[16][12] = -0.0982031880016438;
   fWeightMatrix0to1[17][12] = 3.06455315348348;
   fWeightMatrix0to1[18][12] = -0.278828550298839;
   fWeightMatrix0to1[19][12] = -0.068399470669187;
   fWeightMatrix0to1[20][12] = -0.0868308449336498;
   fWeightMatrix0to1[21][12] = 0.192118317445838;
   fWeightMatrix0to1[22][12] = 0.257530401314479;
   fWeightMatrix0to1[23][12] = 0.126903153194643;
   fWeightMatrix0to1[24][12] = -0.139317635973463;
   fWeightMatrix0to1[25][12] = -0.118043785529559;
   fWeightMatrix0to1[26][12] = 0.485856794410897;
   fWeightMatrix0to1[27][12] = 7.25417269470595;
   fWeightMatrix0to1[28][12] = 1.44553131463808;
   fWeightMatrix0to1[29][12] = -0.611714261868487;
   fWeightMatrix0to1[0][13] = 0.0141380158902576;
   fWeightMatrix0to1[1][13] = 0.552500793654157;
   fWeightMatrix0to1[2][13] = -5.20770305988191;
   fWeightMatrix0to1[3][13] = -0.181023059384777;
   fWeightMatrix0to1[4][13] = 0.00876887763943987;
   fWeightMatrix0to1[5][13] = -0.668677126384124;
   fWeightMatrix0to1[6][13] = 0.441510407361911;
   fWeightMatrix0to1[7][13] = 0.782963949916417;
   fWeightMatrix0to1[8][13] = 1.28680506786072;
   fWeightMatrix0to1[9][13] = -0.216905333205289;
   fWeightMatrix0to1[10][13] = -0.232560819432014;
   fWeightMatrix0to1[11][13] = 1.55115351330517;
   fWeightMatrix0to1[12][13] = -0.482159638127617;
   fWeightMatrix0to1[13][13] = -0.103099035564138;
   fWeightMatrix0to1[14][13] = 0.0594324711649006;
   fWeightMatrix0to1[15][13] = -2.01928369885477;
   fWeightMatrix0to1[16][13] = 0.237586428988298;
   fWeightMatrix0to1[17][13] = 1.87960760140404;
   fWeightMatrix0to1[18][13] = 0.885728887214903;
   fWeightMatrix0to1[19][13] = -0.0722530385994113;
   fWeightMatrix0to1[20][13] = 0.282386558163078;
   fWeightMatrix0to1[21][13] = -2.42778969492543;
   fWeightMatrix0to1[22][13] = 0.0553571374732747;
   fWeightMatrix0to1[23][13] = 2.47652443728761;
   fWeightMatrix0to1[24][13] = 0.0796720527114966;
   fWeightMatrix0to1[25][13] = -0.221379682872322;
   fWeightMatrix0to1[26][13] = 0.247807699791427;
   fWeightMatrix0to1[27][13] = 7.61184908915798;
   fWeightMatrix0to1[28][13] = 3.4078890261002;
   fWeightMatrix0to1[29][13] = -0.374805994631078;
   fWeightMatrix0to1[0][14] = -3.0581441539632;
   fWeightMatrix0to1[1][14] = 1.44158602772809;
   fWeightMatrix0to1[2][14] = 5.07209752458882;
   fWeightMatrix0to1[3][14] = -24.7460896982455;
   fWeightMatrix0to1[4][14] = -6.60961534479525;
   fWeightMatrix0to1[5][14] = -2.3357769102716;
   fWeightMatrix0to1[6][14] = -4.59586859206623;
   fWeightMatrix0to1[7][14] = -1.74544671631121;
   fWeightMatrix0to1[8][14] = -1.07486001657112;
   fWeightMatrix0to1[9][14] = 5.88858179182069;
   fWeightMatrix0to1[10][14] = -1.19022790113629;
   fWeightMatrix0to1[11][14] = -1.79228333159647;
   fWeightMatrix0to1[12][14] = -2.98449893599792;
   fWeightMatrix0to1[13][14] = 0.0946514742885884;
   fWeightMatrix0to1[14][14] = 2.44709035813112;
   fWeightMatrix0to1[15][14] = 3.95965440843513;
   fWeightMatrix0to1[16][14] = 1.65261304968277;
   fWeightMatrix0to1[17][14] = -2.08065440110168;
   fWeightMatrix0to1[18][14] = -4.19154727975098;
   fWeightMatrix0to1[19][14] = -0.322306495487394;
   fWeightMatrix0to1[20][14] = 3.86757668394775;
   fWeightMatrix0to1[21][14] = -4.61590365591017;
   fWeightMatrix0to1[22][14] = -0.687244264565948;
   fWeightMatrix0to1[23][14] = -0.827047421211646;
   fWeightMatrix0to1[24][14] = 15.4723056438346;
   fWeightMatrix0to1[25][14] = 1.15597900433148;
   fWeightMatrix0to1[26][14] = -10.0649541684172;
   fWeightMatrix0to1[27][14] = -17.0224772094992;
   fWeightMatrix0to1[28][14] = -0.349395823886227;
   fWeightMatrix0to1[29][14] = 1.31833525487893;
   fWeightMatrix0to1[0][15] = -1.0660094674062;
   fWeightMatrix0to1[1][15] = 1.52565890969875;
   fWeightMatrix0to1[2][15] = 1.91796359703574;
   fWeightMatrix0to1[3][15] = -1.54633583033655;
   fWeightMatrix0to1[4][15] = 0.607586915136843;
   fWeightMatrix0to1[5][15] = -3.45291039286874;
   fWeightMatrix0to1[6][15] = 4.3750350353597;
   fWeightMatrix0to1[7][15] = -2.00961050650816;
   fWeightMatrix0to1[8][15] = 2.29330510984558;
   fWeightMatrix0to1[9][15] = -5.63549686722541;
   fWeightMatrix0to1[10][15] = -1.87598471656773;
   fWeightMatrix0to1[11][15] = 0.0897196531185778;
   fWeightMatrix0to1[12][15] = -0.901817956068363;
   fWeightMatrix0to1[13][15] = -0.0494315639063577;
   fWeightMatrix0to1[14][15] = 0.984156286829597;
   fWeightMatrix0to1[15][15] = 3.17356985429923;
   fWeightMatrix0to1[16][15] = -0.862698056818047;
   fWeightMatrix0to1[17][15] = -1.55318304751547;
   fWeightMatrix0to1[18][15] = -2.80440614107764;
   fWeightMatrix0to1[19][15] = 1.95188265625903;
   fWeightMatrix0to1[20][15] = 1.64512329969589;
   fWeightMatrix0to1[21][15] = -1.35179315293231;
   fWeightMatrix0to1[22][15] = -6.58474365755412;
   fWeightMatrix0to1[23][15] = -6.22205050774291;
   fWeightMatrix0to1[24][15] = 2.67536686249646;
   fWeightMatrix0to1[25][15] = -1.98946721004968;
   fWeightMatrix0to1[26][15] = -1.41400351885421;
   fWeightMatrix0to1[27][15] = -9.35579399460316;
   fWeightMatrix0to1[28][15] = 0.881551486899892;
   fWeightMatrix0to1[29][15] = 4.61338080116764;
   fWeightMatrix0to1[0][16] = 3.51123242846967;
   fWeightMatrix0to1[1][16] = -2.5773463219633;
   fWeightMatrix0to1[2][16] = 4.90569989151284;
   fWeightMatrix0to1[3][16] = 12.0905581669626;
   fWeightMatrix0to1[4][16] = 1.68587437052026;
   fWeightMatrix0to1[5][16] = 3.09777159478095;
   fWeightMatrix0to1[6][16] = -11.4709135773657;
   fWeightMatrix0to1[7][16] = -1.291835948486;
   fWeightMatrix0to1[8][16] = 1.54250334186185;
   fWeightMatrix0to1[9][16] = 7.40901388027443;
   fWeightMatrix0to1[10][16] = 1.10567090144232;
   fWeightMatrix0to1[11][16] = -1.44494807026752;
   fWeightMatrix0to1[12][16] = -2.85960767480138;
   fWeightMatrix0to1[13][16] = -2.40861592654783;
   fWeightMatrix0to1[14][16] = -1.07095201060353;
   fWeightMatrix0to1[15][16] = -8.82532176593085;
   fWeightMatrix0to1[16][16] = 0.621773347212223;
   fWeightMatrix0to1[17][16] = -2.95109079483776;
   fWeightMatrix0to1[18][16] = 6.15753886664464;
   fWeightMatrix0to1[19][16] = 0.464889045547992;
   fWeightMatrix0to1[20][16] = -6.24603561162203;
   fWeightMatrix0to1[21][16] = 5.18712818013872;
   fWeightMatrix0to1[22][16] = 14.2201263351342;
   fWeightMatrix0to1[23][16] = 8.32879581333739;
   fWeightMatrix0to1[24][16] = -3.22842737166091;
   fWeightMatrix0to1[25][16] = 0.205538763866829;
   fWeightMatrix0to1[26][16] = 4.93831435126524;
   fWeightMatrix0to1[27][16] = -22.1939292948057;
   fWeightMatrix0to1[28][16] = 3.0363696943294;
   fWeightMatrix0to1[29][16] = -2.98514750784326;
   fWeightMatrix0to1[0][17] = 5.0993095597314;
   fWeightMatrix0to1[1][17] = -1.83555568187445;
   fWeightMatrix0to1[2][17] = -2.0081661021838;
   fWeightMatrix0to1[3][17] = 7.47824224302378;
   fWeightMatrix0to1[4][17] = 1.62255774971109;
   fWeightMatrix0to1[5][17] = 1.78089461356193;
   fWeightMatrix0to1[6][17] = -5.6522029839675;
   fWeightMatrix0to1[7][17] = 0.725774302759315;
   fWeightMatrix0to1[8][17] = 0.671577122232335;
   fWeightMatrix0to1[9][17] = 5.28021509254637;
   fWeightMatrix0to1[10][17] = 1.22310463533398;
   fWeightMatrix0to1[11][17] = -1.36710757415374;
   fWeightMatrix0to1[12][17] = 0.344384023043625;
   fWeightMatrix0to1[13][17] = -1.38547214593295;
   fWeightMatrix0to1[14][17] = 0.127895970062654;
   fWeightMatrix0to1[15][17] = -2.84661460278234;
   fWeightMatrix0to1[16][17] = 0.610430250168552;
   fWeightMatrix0to1[17][17] = 2.44519487130447;
   fWeightMatrix0to1[18][17] = 7.31321159749165;
   fWeightMatrix0to1[19][17] = -1.6155202296551;
   fWeightMatrix0to1[20][17] = -1.13306465123922;
   fWeightMatrix0to1[21][17] = -0.788801421796658;
   fWeightMatrix0to1[22][17] = 12.5503440918283;
   fWeightMatrix0to1[23][17] = 8.99566143466436;
   fWeightMatrix0to1[24][17] = -2.6701655486138;
   fWeightMatrix0to1[25][17] = 0.264659896377227;
   fWeightMatrix0to1[26][17] = 3.8838343171654;
   fWeightMatrix0to1[27][17] = -7.53576827795158;
   fWeightMatrix0to1[28][17] = -0.289517845674101;
   fWeightMatrix0to1[29][17] = -2.81104787025369;
   fWeightMatrix0to1[0][18] = 4.36882667911827;
   fWeightMatrix0to1[1][18] = -1.7923785225412;
   fWeightMatrix0to1[2][18] = 0.0515695314176773;
   fWeightMatrix0to1[3][18] = 9.98901389760801;
   fWeightMatrix0to1[4][18] = 2.46794931084212;
   fWeightMatrix0to1[5][18] = 4.02507285152865;
   fWeightMatrix0to1[6][18] = -11.0792829599176;
   fWeightMatrix0to1[7][18] = -1.41390859437782;
   fWeightMatrix0to1[8][18] = 2.24915522101663;
   fWeightMatrix0to1[9][18] = 8.60683830800976;
   fWeightMatrix0to1[10][18] = 1.70825042188161;
   fWeightMatrix0to1[11][18] = 1.05093780454037;
   fWeightMatrix0to1[12][18] = -2.30017999118817;
   fWeightMatrix0to1[13][18] = -0.500210539502977;
   fWeightMatrix0to1[14][18] = -0.977792192363342;
   fWeightMatrix0to1[15][18] = -7.41171332652881;
   fWeightMatrix0to1[16][18] = -0.778295033377649;
   fWeightMatrix0to1[17][18] = -2.61845521073965;
   fWeightMatrix0to1[18][18] = 9.08955524395929;
   fWeightMatrix0to1[19][18] = -1.69430117567727;
   fWeightMatrix0to1[20][18] = 0.616508141308924;
   fWeightMatrix0to1[21][18] = 2.90322573693357;
   fWeightMatrix0to1[22][18] = 17.3953575384447;
   fWeightMatrix0to1[23][18] = 12.716236376036;
   fWeightMatrix0to1[24][18] = -3.09087002741501;
   fWeightMatrix0to1[25][18] = 1.52826177909364;
   fWeightMatrix0to1[26][18] = 4.53092137860756;
   fWeightMatrix0to1[27][18] = -14.0291981164205;
   fWeightMatrix0to1[28][18] = -0.869007752251791;
   fWeightMatrix0to1[29][18] = -3.04133962855475;
   fWeightMatrix0to1[0][19] = 2.04900978696862;
   fWeightMatrix0to1[1][19] = 0.2317069892651;
   fWeightMatrix0to1[2][19] = 1.4251586769561;
   fWeightMatrix0to1[3][19] = 2.72380682090022;
   fWeightMatrix0to1[4][19] = 0.710072062775378;
   fWeightMatrix0to1[5][19] = -1.19149131453949;
   fWeightMatrix0to1[6][19] = 4.73353547640529;
   fWeightMatrix0to1[7][19] = -2.01262447536442;
   fWeightMatrix0to1[8][19] = 1.75910442383292;
   fWeightMatrix0to1[9][19] = -3.18420826376313;
   fWeightMatrix0to1[10][19] = 0.447752361667443;
   fWeightMatrix0to1[11][19] = -0.118682974577358;
   fWeightMatrix0to1[12][19] = 0.0727297912462197;
   fWeightMatrix0to1[13][19] = -0.736891938413609;
   fWeightMatrix0to1[14][19] = 0.810151457821372;
   fWeightMatrix0to1[15][19] = -2.3585555938206;
   fWeightMatrix0to1[16][19] = -1.07555470216018;
   fWeightMatrix0to1[17][19] = 0.427988627736771;
   fWeightMatrix0to1[18][19] = -3.12446337520416;
   fWeightMatrix0to1[19][19] = 1.03549208081867;
   fWeightMatrix0to1[20][19] = -2.09842916568795;
   fWeightMatrix0to1[21][19] = 1.17142107759131;
   fWeightMatrix0to1[22][19] = -5.1209074585513;
   fWeightMatrix0to1[23][19] = 1.15532186355421;
   fWeightMatrix0to1[24][19] = -5.28948370231897;
   fWeightMatrix0to1[25][19] = -1.11453324863447;
   fWeightMatrix0to1[26][19] = 2.07435852283045;
   fWeightMatrix0to1[27][19] = -0.948225388927277;
   fWeightMatrix0to1[28][19] = -0.770109316154111;
   fWeightMatrix0to1[29][19] = -1.07561610504465;
   fWeightMatrix0to1[0][20] = 1.44928905589437;
   fWeightMatrix0to1[1][20] = 2.04863786543236;
   fWeightMatrix0to1[2][20] = 2.44030866324661;
   fWeightMatrix0to1[3][20] = -2.67017166007631;
   fWeightMatrix0to1[4][20] = -0.866514491077537;
   fWeightMatrix0to1[5][20] = 0.0967322394741751;
   fWeightMatrix0to1[6][20] = 5.72946734256307;
   fWeightMatrix0to1[7][20] = -1.59602381995624;
   fWeightMatrix0to1[8][20] = -0.366501635333157;
   fWeightMatrix0to1[9][20] = -1.89831024039291;
   fWeightMatrix0to1[10][20] = -0.135410296568558;
   fWeightMatrix0to1[11][20] = 1.71466612678346;
   fWeightMatrix0to1[12][20] = -3.06097836093948;
   fWeightMatrix0to1[13][20] = 1.16782576212385;
   fWeightMatrix0to1[14][20] = -0.645449440493515;
   fWeightMatrix0to1[15][20] = 1.52837305215082;
   fWeightMatrix0to1[16][20] = -0.50164814999208;
   fWeightMatrix0to1[17][20] = 0.928647007632165;
   fWeightMatrix0to1[18][20] = -3.9759109202071;
   fWeightMatrix0to1[19][20] = -0.871154704702352;
   fWeightMatrix0to1[20][20] = 2.09541665491415;
   fWeightMatrix0to1[21][20] = -0.154338882385077;
   fWeightMatrix0to1[22][20] = -4.32971182337898;
   fWeightMatrix0to1[23][20] = -0.880228165694102;
   fWeightMatrix0to1[24][20] = -3.557240201496;
   fWeightMatrix0to1[25][20] = -1.46520235634195;
   fWeightMatrix0to1[26][20] = -3.1523422238352;
   fWeightMatrix0to1[27][20] = 0.954886637307346;
   fWeightMatrix0to1[28][20] = -0.752055632540123;
   fWeightMatrix0to1[29][20] = 0.296851016025796;
   fWeightMatrix0to1[0][21] = 1.56458223110736;
   fWeightMatrix0to1[1][21] = -2.24294239961359;
   fWeightMatrix0to1[2][21] = 1.61772984887162;
   fWeightMatrix0to1[3][21] = -5.75085672853227;
   fWeightMatrix0to1[4][21] = -2.27012173911829;
   fWeightMatrix0to1[5][21] = 1.61759130667294;
   fWeightMatrix0to1[6][21] = 14.0542490278744;
   fWeightMatrix0to1[7][21] = -0.579425244200206;
   fWeightMatrix0to1[8][21] = 0.231163237110923;
   fWeightMatrix0to1[9][21] = -17.8869136541531;
   fWeightMatrix0to1[10][21] = -0.067288464254082;
   fWeightMatrix0to1[11][21] = -2.28059548401041;
   fWeightMatrix0to1[12][21] = 17.8973173618442;
   fWeightMatrix0to1[13][21] = 1.39665278535899;
   fWeightMatrix0to1[14][21] = -0.423478272469952;
   fWeightMatrix0to1[15][21] = -7.43653587190324;
   fWeightMatrix0to1[16][21] = -2.7149588057405;
   fWeightMatrix0to1[17][21] = 0.589917497266736;
   fWeightMatrix0to1[18][21] = -0.0374704506998638;
   fWeightMatrix0to1[19][21] = -0.0049998513459763;
   fWeightMatrix0to1[20][21] = 5.76209039929605;
   fWeightMatrix0to1[21][21] = -0.117826478130041;
   fWeightMatrix0to1[22][21] = 0.568183104262944;
   fWeightMatrix0to1[23][21] = -5.92185149923884;
   fWeightMatrix0to1[24][21] = 3.12710514628626;
   fWeightMatrix0to1[25][21] = 1.09752377871676;
   fWeightMatrix0to1[26][21] = 12.8335403240927;
   fWeightMatrix0to1[27][21] = 1.41276156063789;
   fWeightMatrix0to1[28][21] = 1.35977537715358;
   fWeightMatrix0to1[29][21] = -0.409772266317793;
   fWeightMatrix0to1[0][22] = -2.29362378792465;
   fWeightMatrix0to1[1][22] = 2.06785298065971;
   fWeightMatrix0to1[2][22] = 1.09568657488936;
   fWeightMatrix0to1[3][22] = -1.20208808339669;
   fWeightMatrix0to1[4][22] = 1.85576175330089;
   fWeightMatrix0to1[5][22] = -2.73396750673895;
   fWeightMatrix0to1[6][22] = 4.62297093682221;
   fWeightMatrix0to1[7][22] = 1.24351170583831;
   fWeightMatrix0to1[8][22] = 2.06431743075089;
   fWeightMatrix0to1[9][22] = -0.870414309027102;
   fWeightMatrix0to1[10][22] = -1.9843615754289;
   fWeightMatrix0to1[11][22] = -1.82356685731123;
   fWeightMatrix0to1[12][22] = -0.0178720389816418;
   fWeightMatrix0to1[13][22] = 0.134449317838758;
   fWeightMatrix0to1[14][22] = 0.987248229952357;
   fWeightMatrix0to1[15][22] = 0.81283289119225;
   fWeightMatrix0to1[16][22] = 1.76176167796292;
   fWeightMatrix0to1[17][22] = -0.701534037335159;
   fWeightMatrix0to1[18][22] = -0.166166927981403;
   fWeightMatrix0to1[19][22] = -1.54670044703372;
   fWeightMatrix0to1[20][22] = 3.3953309982481;
   fWeightMatrix0to1[21][22] = -2.12921088355243;
   fWeightMatrix0to1[22][22] = -2.40280083318766;
   fWeightMatrix0to1[23][22] = -5.62049527893164;
   fWeightMatrix0to1[24][22] = 1.67011192773834;
   fWeightMatrix0to1[25][22] = 0.688743691045279;
   fWeightMatrix0to1[26][22] = 4.39005585670473;
   fWeightMatrix0to1[27][22] = 5.65051785588739;
   fWeightMatrix0to1[28][22] = -3.11052125961379;
   fWeightMatrix0to1[29][22] = -0.589233429555072;
   // weight matrix from layer 1 to 2
   fWeightMatrix1to2[0][0] = -0.666358738354368;
   fWeightMatrix1to2[0][1] = -0.255481470321695;
   fWeightMatrix1to2[0][2] = 0.952187514799571;
   fWeightMatrix1to2[0][3] = 1.4491926450534;
   fWeightMatrix1to2[0][4] = 1.11933120193319;
   fWeightMatrix1to2[0][5] = 0.327101749732718;
   fWeightMatrix1to2[0][6] = -0.386914015722547;
   fWeightMatrix1to2[0][7] = 1.26586116697436;
   fWeightMatrix1to2[0][8] = -1.5540107237423;
   fWeightMatrix1to2[0][9] = 0.562463710345795;
   fWeightMatrix1to2[0][10] = 0.778027370548551;
   fWeightMatrix1to2[0][11] = 2.20868662846868;
   fWeightMatrix1to2[0][12] = 1.16410935698863;
   fWeightMatrix1to2[0][13] = -0.332011458509787;
   fWeightMatrix1to2[0][14] = 0.471686442450511;
   fWeightMatrix1to2[0][15] = -0.688938256258023;
   fWeightMatrix1to2[0][16] = -1.14925500112052;
   fWeightMatrix1to2[0][17] = -0.274201217588672;
   fWeightMatrix1to2[0][18] = 0.239563112189819;
   fWeightMatrix1to2[0][19] = -0.180884019205791;
   fWeightMatrix1to2[0][20] = -1.37498245427997;
   fWeightMatrix1to2[0][21] = 1.20988174943612;
   fWeightMatrix1to2[0][22] = 0.476374257914921;
   fWeightMatrix1to2[0][23] = 0.885129334803602;
   fWeightMatrix1to2[0][24] = -1.1269792238914;
   fWeightMatrix1to2[0][25] = 0.240990434734585;
   fWeightMatrix1to2[0][26] = 0.418728556167388;
   fWeightMatrix1to2[0][27] = -1.72936317630694;
   fWeightMatrix1to2[0][28] = 2.03817485439095;
   fWeightMatrix1to2[0][29] = -0.309919381093941;
   fWeightMatrix1to2[0][30] = -2.40775044958683;
}

inline double ReadKaon_Upstream_TMVA::GetMvaValue__( const std::vector<double>& inputValues ) const
{
   if (inputValues.size() != (unsigned int)fLayerSize[0]-1) {
      std::cout << "Input vector needs to be of size " << fLayerSize[0]-1 << std::endl;
      return 0;
   }

   for (int l=0; l<fLayers; l++)
      for (int i=0; i<fLayerSize[l]; i++) fWeights[l][i]=0;

   for (int l=0; l<fLayers-1; l++)
      fWeights[l][fLayerSize[l]-1]=1;

   for (int i=0; i<fLayerSize[0]-1; i++)
      fWeights[0][i]=inputValues[i];

   // layer 0 to 1
   for (int o=0; o<fLayerSize[1]-1; o++) {
      for (int i=0; i<fLayerSize[0]; i++) {
         double inputVal = fWeightMatrix0to1[o][i] * fWeights[0][i];
         fWeights[1][o] += inputVal;
      }
      fWeights[1][o] = ActivationFnc(fWeights[1][o]);
   }
   // layer 1 to 2
   for (int o=0; o<fLayerSize[2]; o++) {
      for (int i=0; i<fLayerSize[1]; i++) {
         double inputVal = fWeightMatrix1to2[o][i] * fWeights[1][i];
         fWeights[2][o] += inputVal;
      }
      fWeights[2][o] = OutputActivationFnc(fWeights[2][o]);
   }

   return fWeights[2][0];
}

double ReadKaon_Upstream_TMVA::ActivationFnc(double x) const {
   // hyperbolic tan
   return tanh(x);
}
double ReadKaon_Upstream_TMVA::OutputActivationFnc(double x) const {
   // sigmoid
   return 1.0/(1.0+exp(-x));
}
   
// Clean up
inline void ReadKaon_Upstream_TMVA::Clear() 
{
   // nothing to clear
}
   inline double ReadKaon_Upstream_TMVA::GetMvaValue( const std::vector<double>& inputValues ) const
   {
      // classifier response value
      double retval = 0;

      // classifier response, sanity check first
      if (!IsStatusClean()) {
         std::cout << "Problem in class \"" << fClassName << "\": cannot return classifier response"
                   << " because status is dirty" << std::endl;
         retval = 0;
      }
      else {
         if (IsNormalised()) {
            // normalise variables
            std::vector<double> iV;
            int ivar = 0;
            for (std::vector<double>::const_iterator varIt = inputValues.begin();
                 varIt != inputValues.end(); varIt++, ivar++) {
               iV.push_back(NormVariable( *varIt, fVmin[ivar], fVmax[ivar] ));
            }
            Transform( iV, -1 );
            retval = GetMvaValue__( iV );
         }
         else {
            std::vector<double> iV;
            int ivar = 0;
            for (std::vector<double>::const_iterator varIt = inputValues.begin();
                 varIt != inputValues.end(); varIt++, ivar++) {
               iV.push_back(*varIt);
            }
            Transform( iV, -1 );
            retval = GetMvaValue__( iV );
         }
      }

      return retval;
   }

//_______________________________________________________________________
inline void ReadKaon_Upstream_TMVA::InitTransform_1()
{
   // Normalization transformation, initialisation
   fMin_1[0][0] = 172.490005493;
   fMax_1[0][0] = 4970293.5;
   fMin_1[1][0] = 336.970001221;
   fMax_1[1][0] = 2547220.5;
   fMin_1[2][0] = 172.490005493;
   fMax_1[2][0] = 4970293.5;
   fMin_1[0][1] = 0.832938909531;
   fMax_1[0][1] = 995273.875;
   fMin_1[1][1] = 12.2795991898;
   fMax_1[1][1] = 372942.34375;
   fMin_1[2][1] = 0.832938909531;
   fMax_1[2][1] = 995273.875;
   fMin_1[0][2] = 0.00302399252541;
   fMax_1[0][2] = 2.999573946;
   fMin_1[1][2] = 0.00486037321389;
   fMax_1[1][2] = 2.99690961838;
   fMin_1[2][2] = 0.00302399252541;
   fMax_1[2][2] = 2.999573946;
   fMin_1[0][3] = 4;
   fMax_1[0][3] = 28;
   fMin_1[1][3] = 4;
   fMax_1[1][3] = 24;
   fMin_1[2][3] = 4;
   fMax_1[2][3] = 28;
   fMin_1[0][4] = -99.6241531372;
   fMax_1[0][4] = -0.319228202105;
   fMin_1[1][4] = -38.5328483582;
   fMax_1[1][4] = -0.375142008066;
   fMin_1[2][4] = -99.6241531372;
   fMax_1[2][4] = -0.319228202105;
   fMin_1[0][5] = 0.0317582078278;
   fMax_1[0][5] = 1;
   fMin_1[1][5] = 0.0595433376729;
   fMax_1[1][5] = 1;
   fMin_1[2][5] = 0.0317582078278;
   fMax_1[2][5] = 1;
   fMin_1[0][6] = -999;
   fMax_1[0][6] = 4999.73632812;
   fMin_1[1][6] = -999;
   fMax_1[1][6] = 4964.65527344;
   fMin_1[2][6] = -999;
   fMax_1[2][6] = 4999.73632812;
   fMin_1[0][7] = 2.50487555604e-05;
   fMax_1[0][7] = 51.0802001953;
   fMin_1[1][7] = 7.07881335984e-05;
   fMax_1[1][7] = 50.0462150574;
   fMin_1[2][7] = 2.50487555604e-05;
   fMax_1[2][7] = 51.0802001953;
   fMin_1[0][8] = 1;
   fMax_1[0][8] = 24;
   fMin_1[1][8] = 1;
   fMax_1[1][8] = 21;
   fMin_1[2][8] = 1;
   fMax_1[2][8] = 24;
   fMin_1[0][9] = 0;
   fMax_1[0][9] = 1;
   fMin_1[1][9] = 0;
   fMax_1[1][9] = 1;
   fMin_1[2][9] = 0;
   fMax_1[2][9] = 1;
   fMin_1[0][10] = 0;
   fMax_1[0][10] = 1;
   fMin_1[1][10] = 0;
   fMax_1[1][10] = 1;
   fMin_1[2][10] = 0;
   fMax_1[2][10] = 1;
   fMin_1[0][11] = 0;
   fMax_1[0][11] = 1;
   fMin_1[1][11] = 0;
   fMax_1[1][11] = 1;
   fMin_1[2][11] = 0;
   fMax_1[2][11] = 1;
   fMin_1[0][12] = 0;
   fMax_1[0][12] = 1;
   fMin_1[1][12] = 0;
   fMax_1[1][12] = 1;
   fMin_1[2][12] = 0;
   fMax_1[2][12] = 1;
   fMin_1[0][13] = 0;
   fMax_1[0][13] = 1;
   fMin_1[1][13] = 0;
   fMax_1[1][13] = 1;
   fMin_1[2][13] = 0;
   fMax_1[2][13] = 1;
   fMin_1[0][14] = -999;
   fMax_1[0][14] = 107.511299133;
   fMin_1[1][14] = -999;
   fMax_1[1][14] = 50.3508987427;
   fMin_1[2][14] = -999;
   fMax_1[2][14] = 107.511299133;
   fMin_1[0][15] = -999;
   fMax_1[0][15] = 69.573600769;
   fMin_1[1][15] = -999;
   fMax_1[1][15] = 25.4330997467;
   fMin_1[2][15] = -999;
   fMax_1[2][15] = 69.573600769;
   fMin_1[0][16] = -999;
   fMax_1[0][16] = 96.6315994263;
   fMin_1[1][16] = -999;
   fMax_1[1][16] = 99.5278015137;
   fMin_1[2][16] = -999;
   fMax_1[2][16] = 99.5278015137;
   fMin_1[0][17] = -999;
   fMax_1[0][17] = 62.6166000366;
   fMin_1[1][17] = -999;
   fMax_1[1][17] = 50.4168014526;
   fMin_1[2][17] = -999;
   fMax_1[2][17] = 62.6166000366;
   fMin_1[0][18] = -999;
   fMax_1[0][18] = 47.8530006409;
   fMin_1[1][18] = -999;
   fMax_1[1][18] = 46.5424995422;
   fMin_1[2][18] = -999;
   fMax_1[2][18] = 47.8530006409;
   fMin_1[0][19] = 0;
   fMax_1[0][19] = 1;
   fMin_1[1][19] = 0;
   fMax_1[1][19] = 1;
   fMin_1[2][19] = 0;
   fMax_1[2][19] = 1;
   fMin_1[0][20] = -999;
   fMax_1[0][20] = 4.79148387909;
   fMin_1[1][20] = -999;
   fMax_1[1][20] = 4.49353694916;
   fMin_1[2][20] = -999;
   fMax_1[2][20] = 4.79148387909;
   fMin_1[0][21] = 0.486891388893;
   fMax_1[0][21] = 5.4943819046;
   fMin_1[1][21] = 0.582865178585;
   fMax_1[1][21] = 2.23033714294;
   fMin_1[2][21] = 0.486891388893;
   fMax_1[2][21] = 5.4943819046;
}

//_______________________________________________________________________
inline void ReadKaon_Upstream_TMVA::Transform_1( std::vector<double>& iv, int cls) const
{
   // Normalization transformation
   if (cls < 0 || cls > 2) {
   if (2 > 1 ) cls = 2;
      else cls = 2;
   }
   const int nVar = 22;

   // get indices of used variables

   // define the indices of the variables which are transformed by this transformation
   std::vector<int> indicesGet;
   std::vector<int> indicesPut;

   indicesGet.push_back( 0);
   indicesGet.push_back( 1);
   indicesGet.push_back( 2);
   indicesGet.push_back( 3);
   indicesGet.push_back( 4);
   indicesGet.push_back( 5);
   indicesGet.push_back( 6);
   indicesGet.push_back( 7);
   indicesGet.push_back( 8);
   indicesGet.push_back( 9);
   indicesGet.push_back( 10);
   indicesGet.push_back( 11);
   indicesGet.push_back( 12);
   indicesGet.push_back( 13);
   indicesGet.push_back( 14);
   indicesGet.push_back( 15);
   indicesGet.push_back( 16);
   indicesGet.push_back( 17);
   indicesGet.push_back( 18);
   indicesGet.push_back( 19);
   indicesGet.push_back( 20);
   indicesGet.push_back( 21);
   indicesPut.push_back( 0);
   indicesPut.push_back( 1);
   indicesPut.push_back( 2);
   indicesPut.push_back( 3);
   indicesPut.push_back( 4);
   indicesPut.push_back( 5);
   indicesPut.push_back( 6);
   indicesPut.push_back( 7);
   indicesPut.push_back( 8);
   indicesPut.push_back( 9);
   indicesPut.push_back( 10);
   indicesPut.push_back( 11);
   indicesPut.push_back( 12);
   indicesPut.push_back( 13);
   indicesPut.push_back( 14);
   indicesPut.push_back( 15);
   indicesPut.push_back( 16);
   indicesPut.push_back( 17);
   indicesPut.push_back( 18);
   indicesPut.push_back( 19);
   indicesPut.push_back( 20);
   indicesPut.push_back( 21);

   std::vector<double> dv(nVar);
   for (int ivar=0; ivar<nVar; ivar++) dv[ivar] = iv[indicesGet.at(ivar)];
   for (int ivar=0;ivar<22;ivar++) {
      double offset = fMin_1[cls][ivar];
      double scale  = 1.0/(fMax_1[cls][ivar]-fMin_1[cls][ivar]);
      iv[indicesPut.at(ivar)] = (dv[ivar]-offset)*scale * 2 - 1;
   }
}

//_______________________________________________________________________
inline void ReadKaon_Upstream_TMVA::InitTransform()
{
   InitTransform_1();
}

//_______________________________________________________________________
inline void ReadKaon_Upstream_TMVA::Transform( std::vector<double>& iv, int sigOrBgd ) const
{
   Transform_1( iv, sigOrBgd );
}